DBMS > Alibaba Cloud Table Store vs. Atos Standard Common Repository vs. IBM Db2 Event Store
System Properties Comparison Alibaba Cloud Table Store vs. Atos Standard Common Repository vs. IBM Db2 Event Store
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|Editorial information provided by DB-Engines|
|Name||Alibaba Cloud Table Store Xexclude from comparison||Atos Standard Common Repository Xexclude from comparison||IBM Db2 Event Store Xexclude from comparison|
|This system has been discontinued and will be removed from the DB-Engines ranking.|
|Description||A fully managed Wide Column Store for large quantities of semi-structured data with real-time access||Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks||Distributed Event Store optimized for Internet of Things use cases|
|Primary database model||Wide column store||Document store|
Time Series DBMS
|Developer||Alibaba||Atos Convergence Creators||IBM|
|License Commercial or Open Source||commercial||commercial||commercial free developer edition available|
|Cloud-based only Only available as a cloud service||yes||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Implementation language||Java||C and C++|
|Server operating systems||hosted||Linux||Linux Linux, macOS, Windows for the developer addition|
|Data scheme||schema-free||Schema and schema-less with LDAP views||yes|
|Typing predefined data types such as float or date||yes||optional||yes|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||no||yes||no|
|SQL Support of SQL||no||no||yes through the embedded Spark runtime|
|APIs and other access methods||HTTP API||LDAP||ADO.NET|
RESTful HTTP API
|Supported programming languages||Java|
|All languages with LDAP bindings||C|
|Server-side scripts Stored procedures||no||no||yes|
|Partitioning methods Methods for storing different data on different nodes||Sharding Implicit feature of the cloud service||Sharding cell division||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||yes Implicit feature of the cloud service||yes||Active-active shard replication|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Immediate Consistency or Eventual Consistency depending on configuration||Eventual Consistency|
|Foreign keys Referential integrity||no||no||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||Atomic single-row operations||Atomic execution of specific operations||no|
|Concurrency Support for concurrent manipulation of data||yes||yes||No - written data is immutable|
|Durability Support for making data persistent||yes||yes||Yes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storage|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no||yes||yes|
|User concepts Access control||Access rights based on subaccounts and tokens||LDAP bind authentication||fine grained access rights according to SQL-standard|
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|Alibaba Cloud Table Store||Atos Standard Common Repository||IBM Db2 Event Store|
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